System and method for dynamic in-vehicle virtual reality

ABSTRACT

A method for dynamic virtual reality includes receiving vehicle data. The vehicle data includes a velocity, an orientation, and a location of a vehicle within a first frame of reference. The method also includes receiving user data. The user data includes a velocity, an orientation and a location of a user within a second frame of reference different than the first frame of reference. The method includes generating a view based on the vehicle data, the user data, and a model, the model including one or more components that define the view. The method includes determining a difference between the user data and the vehicle data. The method includes rendering the view to the output device by controlling the output device to update display of the view according to the determined difference relative to the second frame of reference.

RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 15/420,536 filed Jan. 31, 2017 and now published as U.S. Patent Pub. No. 2017/0139473, which is expressly incorporated herein by reference. U.S. patent application Ser. No. 15/420,536 is a continuation of U.S. patent application Ser. No. 14/291,854 filed on May 30, 2014 and now published as U.S. Patent Pub. No. 2015/0097861, which is expressly incorporated herein by reference. Further, U.S. patent application Ser. No. 14/291,854 is a continuation of U.S. patent application Ser. No. 14/177,841 filed on Feb. 11, 2014 and now published as U.S. Patent Pub. No. 2015/0097860, which claims priority to U.S. Provisional Application Ser. No. 61/886,240 filed on Oct. 3, 2013, both of which are also expressly incorporated herein by reference.

BACKGROUND

Truly immersive virtual reality and augmented reality systems create environments that submerge the perceptual system of a user in computer-generated stimuli (e.g., a virtual world and/or a virtual view). Typically, these immersive systems captivate the senses of the user while blocking out stimuli from the physical world. The virtual world can be altered as a result of an input from the user and/or an interaction of the user with the virtual world.

Although, the goal of these systems is to create an immersive environment, the physical world can still be used to provide a context for the immersive environment. In particular, it is important to consider the environment and context of the user. For example, in the context of a user in a vehicle, immersive virtual reality and augmented reality systems can consider information about the user, the vehicle and the user in relation to the vehicle. This information can be used to generate an immersive environment that is customized to the user and the user's environment and can allow the user to perceive the immersive environment comfortably.

BRIEF DESCRIPTION

According to one aspect, a method for virtual reality rendering views to an output device is provided. The method includes receiving vehicle data. The vehicle data includes a velocity, an orientation, and a location of a vehicle within a first frame of reference. The method also includes receiving user data. The user data includes a velocity, an orientation and a location of a user within a second frame of reference that is different than the first frame of reference. The method further includes generating a view based on the vehicle data, the user data, and a model, the model including one or more components that define the view. The method includes determining a difference between the user data from the second frame of reference and the vehicle data from the first frame of reference. The method yet further includes rendering the view to the output device by controlling the output device to update display of the view according to the determined difference relative to the second frame of reference.

According to another aspect, a computing system for rendering views to an output device is provided. The computing system a processor operatively connected for computer communication to one or more vehicle systems of a vehicle and the output device. The processor includes a virtual reality data module receives vehicle data from the one or more vehicle systems of the vehicle. The vehicle data includes a velocity, an orientation, and a location of the vehicle within a first frame of reference. The virtual reality data module receives predictive vehicle data including a velocity, an orientation, and a location of the vehicle within the first frame of reference at a future point in time. The virtual reality data module also receives user data the from the output device. The user data includes a velocity, an orientation and a location of a user within a second frame of reference of the vehicle. The processor also includes a dynamic virtual reality module that generates a view based on the vehicle data, the predictive vehicle data, the user data, and a model, the model including one or more components that define the view. The processor also includes a rendering module that determines a difference between the user data from the second frame of reference and the vehicle data from the first frame of reference. The rendering module also renders the view to the output device by controlling the output device to update display of the view according to the determined difference relative to the second frame of reference and the predictive vehicle data relative to the first frame of reference.

According to another aspect, a non-transitory computer-readable storage medium storing instructions that, when executed by a vehicle computer, causes the computer to perform the steps of a method. The method includes receiving vehicle data. The vehicle data includes a velocity, an orientation, and a location of a vehicle. The method also includes receiving user data. The user data includes a velocity, an orientation and a location of a user. The method further includes generating a view based on the vehicle data, the user data, and a model, the model including one or more components that define the view. The method includes determining a difference between the user data and the vehicle data. The method yet further includes rendering the view to the output device by controlling the output device to update display of the view according to the determined difference.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic view of an operating environment for dynamic virtual reality systems and methods according to an exemplary embodiment;

FIG. 2 is a schematic view of a vehicle and a vehicle occupant implementing virtual reality systems and methods according to an exemplary embodiment;

FIG. 3 is a block diagram of the virtual reality engine of FIG. 1 according to an exemplary embodiment;

FIG. 4 is a virtual world model diagram including data flow according to an exemplary embodiment;

FIG. 5 is a schematic class diagram of a virtual reality world including the virtual world model of FIG. 4 according to an exemplary embodiment;

FIG. 6 is a flow chart diagram of a method for dynamic virtual reality according to an exemplary embodiment;

FIG. 7A is an illustrative example of a virtual view according to an exemplary embodiment; and

FIG. 7B is an illustrative example of another virtual view according to an exemplary embodiment.

DETAILED DESCRIPTION

The following includes definitions of selected terms employed herein. The definitions include various examples and/or forms of components that fall within the scope of a term and that can be used for implementation. The examples are not intended to be limiting.

A “bus”, as used herein, refers to an interconnected architecture that is operably connected to other computer components inside a computer or between computers. The bus can transfer data between the computer components. The bus can a memory bus, a memory controller, a peripheral bus, an external bus, a crossbar switch, and/or a local bus, among others. The bus can also be a vehicle bus that interconnects components inside a vehicle using protocols such as Controller Area network (CAN), Local Interconnect Network (LIN), among others.

“Computer communication”, as used herein, refers to a communication between two or more computing devices (e.g., computer, personal digital assistant, cellular telephone, network device) and can be, for example, a network transfer, a file transfer, an applet transfer, an email, a hypertext transfer protocol (HTTP) transfer, and so on. A computer communication can occur across, for example, a wireless system (e.g., IEEE 802.11), an Ethernet system (e.g., IEEE 802.3), a token ring system (e.g., IEEE 802.5), a local area network (LAN), a wide area network (WAN), a point-to-point system, a circuit switching system, a packet switching system, among others.

A “disk”, as used herein can be, for example, a magnetic disk drive, a solid state disk drive, a floppy disk drive, a tape drive, a Zip drive, a flash memory card, and/or a memory stick. Furthermore, the disk can be a CD-ROM (compact disk ROM), a CD recordable drive (CD-R drive), a CD rewritable drive (CD-RW drive), and/or a digital video ROM drive (DVD ROM). The disk can store an operating system that controls or allocates resources of a computing device.

A “database”, as used herein can refer to table, a set of tables, a set of data stores and/or methods for accessing and/or manipulating those data stores.

A “memory”, as used herein can include volatile memory and/or non-volatile memory. Non-volatile memory can include, for example, ROM (read only memory), PROM (programmable read only memory), EPROM (erasable PROM), and EEPROM (electrically erasable PROM). Volatile memory can include, for example, RAM (random access memory), synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), and direct RAM bus RAM (DRRAM). The memory can store an operating system that controls or allocates resources of a computing device.

A “module”, as used herein, includes, but is not limited to, hardware, firmware, software in execution on a machine, and/or combinations of each to perform a function(s) or an action(s), and/or to cause a function or action from another module, method, and/or system. A module can include a software controlled microprocessor, a discrete logic circuit, an analog circuit, a digital circuit, a programmed logic device, a memory device containing executing instructions, and so on.

An “operable connection”, or a connection by which entities are “operably connected”, is one in which signals, physical communications, and/or logical communications can be sent and/or received. An operable connection can include a physical interface, a data interface and/or an electrical interface.

A “processor”, as used herein, processes signals and performs general computing and arithmetic functions. Signals processed by the processor can include digital signals, data signals, computer instructions, processor instructions, messages, a bit, a bit stream, or other means that can be received, transmitted and/or detected. Generally, the processor can be a variety of various processors including multiple single and multicore processors and co-processors and other multiple single and multicore processor and co-processor architectures. The processor can include various modules to execute various functions.

A “portable device”, as used herein, is a computing device typically having a display screen with user input (e.g., touch, keyboard) and a processor for computing. Portable devices include, but are not limited to, handheld devices, mobile devices, smart phones, laptops, tablets and e-readers.

A “vehicle”, as used herein, refers to any moving vehicle that is capable of carrying one or more human occupants and is powered by any form of energy. The term “vehicle” includes, but is not limited to: cars, trucks, vans, minivans, SUVs, motorcycles, scooters, boats, personal watercraft, and aircraft. In some cases, a motor vehicle includes one or more engines.

A “vehicle system”, as used herein can include, but are not limited to, any automatic or manual systems that can be used to enhance the vehicle, driving and/or safety. Exemplary vehicle systems include, but are not limited to: an electronic stability control system, an anti-lock brake system, a brake assist system, an automatic brake prefill system, a low speed follow system, a cruise control system, a collision warning system, a collision mitigation braking system, an auto cruise control system, a lane departure warning system, a blind spot indicator system, a lane keep assist system, a navigation system, a transmission system, brake pedal systems, an electronic power steering system, visual devices (e.g., camera systems, proximity sensor systems), a climate control system, an electronic pretensioning system, among others.

Referring now to the drawings, wherein the showings are for purposes of illustrating one or more exemplary embodiments and not for purposes of limiting same, FIG. 1 is a schematic view of an operating environment 100 for implementing dynamic virtual reality systems and methods according to an exemplary embodiment. The components of environment 100, as well as the components of other systems, hardware architectures and software architectures discussed herein, can be combined, omitted or organized into different architectures for various embodiments. Further, the components of the operating environment 100 can be implemented with or associated with a vehicle. For example, FIG. 2 illustrates a vehicle 200 implementing dynamic virtual reality systems and methods, which will be described in further detail herein.

In the illustrated embodiment of FIG. 1, the environment 100 of FIG. 1 includes a vehicle computing device (VCD) 102 (e.g., a telematics unit, a head unit, a navigation unit, an infotainment unit, an electronic control unit) with provisions for processing, communicating and interacting with various components of a vehicle (e.g., the vehicle 200, FIG. 2) and other components of the environment 100. Generally, the VCD 102 includes a processor 104, a memory 106, a disk 108, a Global Positioning System (GPS) 110 and an input/output (I/O) interface 112, which are each operably connected for computer communication via a bus 114 (e.g., a Controller Area Network (CAN) or a Local Interconnect Network (LIN) protocol bus) and/or other wired and wireless technologies. The I/O interface 112 provides software and hardware to facilitate data input and output between the components of the VCD 102 and other components, networks and data sources, which will be described herein. Additionally, as will be discussed in further detail with the systems and the methods discussed herein, the processor 104 includes a virtual reality (VR) engine 116 suitable for providing a dynamic virtual reality environment to a user (e.g., a vehicle occupant) facilitated by the components of the environment 100.

The VCD 102 is also operably connected for computer communication (e.g., via the bus 114 and/or the I/O interface 112) to one or more vehicle systems 118. Vehicle systems can include, but are not limited to, any automatic or manual systems that can be used to enhance the vehicle, driving and/or safety. The vehicle systems 118 include and/or are operably connected for computer communication to various vehicle sensors 120, the vehicle sensors 120 providing and/or sensing information associated with the vehicle, the vehicle environment and/or the vehicle systems 118. The sensors 120, can include, but are not limited to, vehicle state sensors, vehicle system state sensors, proximity sensors, vision sensors, audio sensors, GPS sensors (e.g., GPS 110), and other sensors. Specific vehicle system sensors can include, but are not limited to, vehicle speed sensors, accelerator pedal sensors, brake sensors, throttle position sensors, wheel sensors, anti-lock brake sensors, camshaft sensors, among others. The sensors 120 are operable to sense a measurement of data associated with the vehicle, the vehicle environment, the vehicle systems 118, and/or occupants of the vehicle, and generate a data signal indicating said measurement of data. These data signals can be converted into other data formats (e.g., numerical) and/or used by the vehicle systems 118 and/or the VCD 102 to generate other data metrics and parameters. In particular, the VCD 102 and components thereof can access and/or receive data (e.g., vehicle data, user data, other data (FIG. 3)) from the plurality of vehicle systems 118 and/or the sensors 120.

Referring again to FIG. 1, the VCD 102 is also operatively connected for computer communication to various networks 122 and virtual reality (VR) devices 124. The network 122 is, for example, a data network, the Internet, a wide area network or a local area network. The network 122 serves as a communication medium to various remote devices (e.g., web servers, remote servers, application servers, intermediary servers, client machines, other portable devices (not shown)). The VR devices 124 include devices that provide input and/or output to the VCD 102, and in particular, the VR engine 116, to facilitate and provide a dynamic virtual reality environment to a user. For example, VR devices 124 can include, but are not limited to one or more of the following: virtual reality tracking devices, head-mounted displays, virtual reality clothing, virtual reality input devices, virtual reality glasses, camera tracking systems in the vehicle for monitoring the user, the vehicle and/or the vehicle environment, portable devices, mobile devices, among others.

In one example, the VR device 124 is a head mounted display (HMD), that can be placed on a user's body (e.g., head) or attached on a helmet or goggles. For example, referring to FIG. 2, a vehicle occupant 202, positioned in a seat 204 of the vehicle 200, is wearing an HMD 206 placed on the head of the vehicle occupant 202. The HMD 206 can provide information about the vehicle occupant 202, for example, tracking information, input information, motion information, among others to the VR engine 116. The HMD 206 also provides a virtual view generated by the VR engine 116 to the vehicle occupant 202. In another embodiment, the vehicle occupant 202 can be in possession of a portable device 208. The portable device 208, alone or in combination with the HMD 206, can provide information about the vehicle occupant 202 and provide a virtual view generated by the VR engine 116 on the portable device 208. For example, the portable device 208 can include accelerometers, gyroscopes and/or compasses that can provide tracking information about the vehicle occupant 202 in possession of the portable device 208. The HMD 206 and/or the portable device 208 can also include speakers or headphones for audio input and output. The HMD 206 and/or the portable device 208 can utilize wireless or wired technology for computer communication with the VCD 102. Various input/output technologies can be implemented with the systems and methods described herein. Other configurations and uses of VR devices 124 can also be utilized. For example, the vehicle occupant 202 can also use a controller (not shown, but can be implemented as the portable device 208) or can use the portable device 208 alone or in conjunction with the HMD 206.

The VR engine 116 of FIG. 1 and a system for dynamic virtual reality will now be discussed in detail with reference to FIG. 3 and FIG. 1. FIG. 3 illustrates a block diagram of a virtual reality (VR) engine 300 (e.g., the VR engine 116) according to an exemplary embodiment. For simplicity, not all components of FIG. 1 are shown in FIG. 3. The VR engine 300 includes a virtual reality data module 302, a dynamic virtual reality (VR) module 306 and a rendering module 308. In addition to the functionality described above with reference to FIG. 1, the aforementioned modules can access and/or receive vehicle data 318, user data 320 and other data 322, as well as communicate with vehicle systems 314 and VR devices 316. As discussed above, the VR devices 316 provide input and/or output to the VR engine 300. Specifically, the VR devices 316 can provide input and/or output to a user 312 (e.g., a vehicle occupant 202 (FIG. 2)). For example, as discussed above with FIG. 1, the VR devices can include virtual reality tracking devices, head-mounted displays (e.g., the HMD 206), portable devices (e.g., the portable device 208), virtual reality clothing, virtual reality input devices, among others.

The virtual reality data module 302 receives vehicle data from the one or more vehicle systems of a vehicle. The vehicle data includes vehicle dynamics data. For example, the virtual reality data module 306 can receive vehicle data 318, from for example, the vehicle systems 314. The vehicle data 318 includes vehicle data metrics and parameters derived from the vehicle sensors 120. For example, vehicle data can include, but is not limited to, vehicle location data (e.g., from the GPS 110), vehicle orientation data, vehicle system state data, data related to one or more vehicle systems and/or components, vehicle environment data (e.g., interior and exterior environment data) among others. The vehicle data 318 can also include navigation data, for example, location data, direction data (e.g., origin, destination, point of interest), among others.

The vehicle data 318 can also include vehicle dynamics data that describes the dynamics of the vehicle and the motion of vehicle (e.g., velocity, direction, acceleration, yaw rate, steering rate, steering angles). Vehicle dynamics data can include, but is not limited to, real time data concerning the speed level, the acceleration rate, the yaw rate, the steering wheel position, the brake position, the throttle position, the transmission gear position of the vehicle, driver commands, dynamic car responses, tire and road forces, among others. In some embodiments, the vehicle data 318 can be received from remote sources, for example, the network 122 (FIG. 1). In one embodiment, the VR data module 302 can receive predictive vehicle data or can determine predictive vehicle data based on the vehicle data 318 and/or the vehicle dynamics data. For example, vehicle predictive motion data can be based on pedal positions, vehicle system status/control, current vehicle location, vehicle destination information, among others.

The virtual reality data module 306 also receives user data 320. For example, the user data 320 can be received from the VR devices 316. The user data 320 includes tracking data, interaction data, user input data, from for example, the VR devices 316. For example, the user data can be based at least in part, on data from vision sensors (e.g., sensors 120, cameras, gesture/motion sensors), tracking systems, the HMD 206, the portable device 208, and other sensors and systems that provide data about the user's interaction, position, orientation, location and motion. For example, the user data 320 can include position, orientation and location information about the user. In another embodiment, the user data 320 can include position, orientation and location information about the user in relation to the vehicle, for example, based in least in part, on the vehicle data 318 (including the vehicle dynamics data). Thus, in one embodiment, the user data 320 can provide information on the user's motion and position and how the user's motion and position is affected by the vehicle dynamics. The user data can also include health data about the user, for example, from health monitoring devices (e.g., portable medical devices worn by the user, biological health monitoring devices). In some embodiments, the user data can also be received from other networks 122 and/or the vehicle systems 314.

In another embodiment, the virtual reality data module 302 also receives other data for facilitating dynamic virtual reality. The other data 322 can include can include big data from the vehicle systems 314, the VR devices 316 and/or other networks 122. For example, other data 322 can include environmental data associated with the vehicle (e.g., interior, exterior), road conditions (e.g., bumpy roads, slick roads, traffic conditions), weather conditions, vehicle temperature, among others. In another embodiment, the other data 322 can include driver action data, for example, driving history, fuel efficiency, interactions with other vehicle systems, gestures, motion relative to the vehicle, among others. Further, in some embodiments, the other data 322 can include social media data from, for example, the other networks 122.

Referring again to FIG. 3, the dynamic VR data module 306 generates a virtual view based on the vehicle data, the user data and a virtual world model. In one embodiment, a data store stores a virtual world model, the virtual world model including one or more components that define the virtual view. For example, in FIG. 3, a data store 310 can store a virtual world model and design data. The virtual world model and design data can include game themes, software or program instructions to define and generate a virtual world and/or a virtual view. In another embodiment, the memory 106 and/or the disk 108 (FIG. 1) can store some or all of the aforementioned virtual world model and design data. In another embodiment, the virtual world model and design data is received from remote sources, for example, the network 122.

An exemplary virtual world model will now be described with reference to FIGS. 4 and 5. FIG. 4 illustrates an exemplary virtual world data model 400 diagram including data flow according to an exemplary embodiment. FIG. 5 is a schematic class diagram 500 of a virtual reality world 502 including a group of node classes 504 of the virtual world model of FIG. 4 according to an exemplary embodiment. The node classes, objects, properties, references, methods and events (i.e., the one or more components that define the virtual view) discussed with FIGS. 4 and 5 are exemplary in nature and are not intended to be limiting. Generally, a virtual world model is a collection of many individual operations and objects that define the virtual world and one or more virtual views. The virtual world model can be defined in various modeling and programming languages, for example, virtual reality modeling language (VRML), DirectX, OpenGL, Unity, among others. As illustrated in FIG. 5, the virtual world 502 can include one or more virtual views 506. The virtual world 502 and the virtual view 506 can also include one or more virtual objects 510. The virtual view 506 and the virtual object 510 are defined by node classes, and in the example of FIG. 5, the group of node classes 504. In some embodiments, nodes can be grouped and applied to one or more virtual views 506 and/or virtual objects 510 in a hierarchy structure. For example, the group of node classes 504 can apply to parent and child nodes of the virtual views 506 and/or virtual objects 510 associated with a particular group of nodes (i.e., the group of node classes 504).

In the illustrated embodiment of FIG. 5, the group of node classes 504 includes a view node class 512, a world structure node class 514, an eventsIn node class 516 and an eventsOut node class 518. Each node class can include components that define and/or modify the node classes, for example, other nodes, properties, fields, methods and/or references. In some embodiments, the nodes, properties, fields, methods and/or references can be predefined based on the virtual world, for example, for a particular theme, game, among others. Additionally, in some embodiments, the nodes, properties, fields, methods and/or references can be predefined based on the user, for example, based on user preferences. Other node classes, properties, fields, methods and/or references not included in FIGS. 4 and 5 can be implemented and may be based on the different modeling and programming languages mentioned above.

The group of node classes 504 of FIG. 5 will now be discussed in detail. The view node class 512 defines the position and/or the orientation of the virtual view 506, the virtual object 510 and/or operations associated with the virtual view 506 and/or the virtual object 510. For example, in FIG. 5, the transform node can be used to perform geometric transformations and includes the properties position, rotation and scale. The imageEffect node handles image post processing effects. Exemplary image post processing effects include, depth of field, motion and blur, among others. The behavior node can be used to enable and disable different behaviors, for example, animation and motion. The visualEffects node can be used to define visual effects, for example, line renderers, halo effects, trail renders, among others. The rendering node can be used to define settings and components for rendering in-game and user interface elements.

The world structure class node 514 defines the structure and appearance of the virtual view 506, the virtual object 510 and/or operations associated with the virtual view 506 and/or the virtual object 510. For example, the geometry node can be used to define shapes. The appearance node can be used to define texture and material. The terrain node can be used to define aspects of a terrain and landscape. The collision node defines which objects in a virtual view are collidable.

The eventsIn class node 516 defines the types and names of events that each node can receive or generate. For example, the EventManager node can define custom events and includes event handlers and listeners that determine event triggers (e.g., determined from user data (e.g., user input), vehicle data) to initialize specific events. The type field defines a type of the event, the node field defines which node(s) the event applies to and the set_fieldname method can be used to modify a value of a field during the event. The eventsOut class node 518 manages execution and routing of the event. The fieldname_changed field indicates what field(s) are changed during the event, the type field defines the type of the event, the node field can define which node the event applies to and the route method defines how the event is sent to a node and how the event is received and generated by a node. Again, the class nodes and components in FIG. 5 are exemplary in nature and other class nodes and components can be implemented with the systems and methods discussed herein. The class nodes and components can be augmented according to at least one of the vehicle data and the user data to generate a dynamic virtual world and/or virtual views to a user. Specifically, the vehicle data and the user data can be used to initialize nodes, set properties and fields and initialize or define events.

Referring again to FIG. 4, the model 400 includes, one or more components that define a virtual view. For example, in FIG. 4, the model includes a view class node 402, a world structure class node 404, an eventsIn class node 406 and an eventsOut class node 408. The class nodes in FIG. 4 can include similar methods, properties, fields and references as the class nodes described with FIG. 5. FIG. 4 also illustrates exemplary data flow to the class nodes, for example, for augmenting the class nodes. Specifically, the dynamic VR module 306 can use these types of data to augment specific class nodes. As discussed in FIG. 3, the data can include vehicle data 318, user data 320 and/or other data 322. The types of data illustrated in FIG. 4 are types of vehicle data 318, user data 320 and/or other data 322 in FIG. 3. Specifically, in FIG. 4, the data includes, but is not limited to, vehicle motion data (including vehicle dynamics data) 412, user motion data 413, vehicle motion predictive data 414, navigation data 416, big data 418 and driver action data 412.

The dynamic VR module 306 modifies and/or augments one or more components of the virtual world model 400 based on at least one of the vehicle data and the user data. The arrows in FIG. 4 from the different types of data to the VR model components, illustrate exemplary flow of data that can be used to augment specific VR model components. For example, vehicle motion data 412 (e.g., vehicle dynamics data, vehicle velocity, direction, acceleration, jerk, vehicle occupant motion data) can be used to augment components of the view class node 402. User motion data 413 (e.g., position, orientation, location, input) can be used to augmented components of the view class node 402. Further vehicle motion predictive data 414 (e.g., pedal positions, auto cruise control) can also be used to augment the view class node 402. In another embodiment, the navigation data 416 (e.g., navigation location, directions) can be used to augment the world structure class node 404. The big data 418 (e.g., speed bumps, road conditions, steering conditions) can also be used to augment the world structure class node 404. Further, the big data 418 can be used to augment the eventsIn class node 406. The driver action data 420 (e.g., fuel efficiency, driver input, audio) can also be used to augment the eventsIn class node 406.

As discussed above, the view class node 402, the world structure class node 404, the eventsIn class node 406 and the eventsOut class node 408 define the virtual view and can be augmented using at least one of vehicle data and user data to provide a dynamic virtual view to a user. In particular, the data types in FIG. 4, can be used to augment the components of the virtual world model 400 thereby generating a virtual view that can include one or more virtual events 410. In one embodiment, the dynamic VR model 306 augments one or more properties of the one or more components of the virtual world model based on the vehicle data and the user data. For example, the one or more properties of the one or more components can include those properties of the class nodes illustrated in FIG. 5. In one embodiment, one or more of the properties can include a motion property defining a motion of the component. For example, the view class node 402 can include a property, for example, transform class node that defines the position, the rotation and or the scale of an object. Based on at least one of the vehicle data and the user data, the transform class node can be augmented to change the position, rotation and or scale of the object. As an illustrative example, and referring to FIGS. 4 and 5, a VR object 510 can be defined as a ball (i.e., defined by the world structure class node 514, for example, the geometry class node). The vehicle motion data 412 (e.g., vehicle dynamics data) can be used to augment a feature of the ball. For example, using the view class node 402 and the transform class node, the position, rotation and/or the scale of the ball can be set based on the vehicle motion data 412. Accordingly, the VR object 510, (i.e., the ball) is synchronized with the vehicle motion data 412.

Referring again to FIG. 3, the rendering module 308 renders the virtual view from the dynamic VR module 306 to an output device by controlling the output device to update display of the virtual view according to the vehicle dynamics data. For example, the dynamic reality module 306 renders the virtual view to one or more of the VR devices 316 (i.e., the HMD 206, the portable device 208). In one embodiment, the rendering module 308 determines vehicle motion data 412 based on the vehicle dynamics data (i.e., the vehicle data 318). The rendering module 308 can also determine user motion data 412 representing motion of the user relative to the vehicle based on the user data 320 and the vehicle data 318. For example, in one embodiment, the VR devices 316 can include accelerometer sensors and/or gyroscope sensors that help determine a position, a location and/or an orientation of the user in relation to the vehicle. The vehicle motion data 412 and/or the user motion data 412 can be used to augment one or more components of the virtual world model 400, thereby controlling the output device to update display of the virtual view according to the vehicle dynamics data. In another embodiment, the rendering module 308 can augment the rendering speed (e.g., the frames per second, frame rate, frame update rate defined and implemented by the graphics rendering hardware/software) of the VR devices 316 directly based on the vehicle motion data 412 and/or the user motion data 412.

In a further embodiment, the rendering module 308 determines a temporal-motion rendering speed based on the vehicle motion data and the user motion data. The temporal-motion rendering speed is a correlation between the vehicle motion data and the user motion data. In another embodiment, the temporal-motion rendering speed also considers a time component from the vehicle data. The temporal-motion rendering speed is a post image processing and rendering property (e.g., frames per second, frame rate, frame update rate) that minimizes the difference between the vehicle motion data and the user motion data. The rendering module 308 can render the virtual view to the output device by controlling the output device to update display of the virtual view based on the temporal-motion rendering speed. For example, the rendering speed (e.g., the frames per second, frame rate, frame update rate) implemented by the graphics hardware and/or software of the VR devices 316 can be augmented based on the temporal-motion rendering speed. In another embodiment, the dynamic VR module 306 augments one or more properties of the one or more component of the virtual world model based on the temporal-motion rendering speed. For example, the view class node 402 can include a rendering properties and/or properties related to motion (See FIG. 5). In one embodiment, these properties can include frames per second, frame rate and/or a frame update rate.

By updating the virtual view according to the vehicle dynamics data in real-time, the virtual view presented to the user is dynamic and considers the vehicle motion and the user motion, thereby simulating the vehicle motion and the user motion in the virtual view in real-time. Said differently, one or more components of the virtual world model are synchronized based on at least the vehicle data and the user data, including the vehicle dynamics data and the user motion data. Not only does this provide a truly immersive virtual reality environment for the user, but virtual reality motion sickness can be minimized, because the virtual view considers the vehicle dynamics and the user motion.

The dynamic virtual reality system illustrated in FIGS. 1-5 described above will now be described in operation with reference to a method of FIG. 6. It will be appreciated that the systems and components discussed above with references to FIGS. 1-5 can similarly be implemented with the method of FIG. 6. The method of FIG. 6 includes at block 602, receiving vehicle data from one or more vehicle systems of a vehicle, wherein the vehicle data includes vehicle dynamics data. For example, referring to FIG. 3, the VR data module 302 can receive vehicle data 318. The vehicle data 318 can include vehicle dynamics data. Block 602 also includes receiving user data from a virtual reality device. For example, the VR data module 302 can also receive user data 320.

Referring back to FIG. 6, at block 604, the method includes generating a virtual view based on the vehicle data, the user data and a virtual world model. The virtual world model includes one or more components that define the virtual view. FIG. 4 illustrates an exemplary virtual world model 400 diagram including data flow according to an exemplary embodiment. The virtual world model 400 includes one or more components that define the virtual view. For example, the view node class 402, the world structure node class 404, the events in node class 406 and the events out node class 408 are exemplary components that define the virtual view. In particular, these node classes define one or more virtual views and one or more virtual objects of the virtual world. The node classes can contain other nodes, properties, fields, methods and references (See FIG. 5).

In one embodiment, generating the virtual view includes augmenting one or more components of the virtual world model according to at least one of the vehicle data and the user data. For example, the view node class 402, the world structure node class 404, the events in node class 406 and the events out node class 408, and/or, nodes, properties, fields, methods and references associated with these nodes, can be augmented based on at least one of the vehicle data and the user data. In FIG. 4, the vehicle motion data 412, the user motion data 413, the vehicle motion prediction data 414, the navigation data 416, the big data 418 and the driver action data 420 are exemplary types of data that can be used to augment one or more of the components of the virtual world model 400.

In one embodiment, the method includes determining an orientation and a location of the vehicle based on the vehicle data. For example, navigation data 416 (e.g., from for example the GPS 110) can be used to determine the orientation and the location of the vehicle. The dynamic VR module 306 and/or the rendering module 308 can determine the orientation and the location of the vehicle based on the vehicle data 318. The method can also include determining an orientation and a location of the user relative to the vehicle based on the user data and the vehicle data. For example, the dynamic VR module 306 and/or the rendering module 308 can determine the orientation and the location of the user relative to the vehicle based on the user data 320 and the vehicle data 318. For example, the VR devices (e.g., tracking devices, the HMD 202, the portable device 208) can include sensors (e.g., accelerometers, gyroscopes, compasses) that provide user data for determining the orientation and the location of the user relative to the vehicle.

Augmenting one or more components of the virtual world model can be based on at least one of the orientation and the location of the vehicle and the orientation and the location of the user. As a non-limiting example, the dynamic VR module can augment the world structure class node 404, with the orientation and the location of the vehicle and the orientation and the location of the user in relation to the vehicle to provide real-time world structures. For example, the terrain class node (See FIG. 5) can be augmented to provide a terrain or landscape in the virtual view that includes a component based on the orientation and the location of the vehicle and the orientation and the location of the user in relation to the vehicle.

In another embodiment, one or more virtual events 410 can be augmented or created based on at least one of the vehicle data 318 and the user data 320. As an illustrative example, driver action data 420 can be used to augment the eventsIn class node 406. Driver action data 420, can include for example, driving history, fuel efficiency, interactions with other vehicle systems, gestures, motion relative to the vehicle, among others. As a non-limiting illustrative example, a user 312 (i.e., a vehicle occupant 202), may roll down a vehicle window (not shown). This driver action is determined based on vehicle data 318 from the vehicle systems 314 (e.g., power window vehicle system) and user data 320 from the VR devices 316 (e.g., tracking devices) indicating that the user 312 has rolled down the vehicle window. In response, the dynamic VR module 306 can augment, for example, the eventIn class node 406, to trigger an event in the virtual view associated with the user 312 rolling down the vehicle window. For example, a simulation of the wind from the vehicle window can be presented in the virtual view, among others. As another illustrative example, the dynamic VR module 306 can define the structure of the simulation of the wind based on a temperature determined from the vehicle data 318. For example, if the temperature is a certain degree, the simulation of the wind in the virtual view may include particles of snow. This can be defined by augmenting the eventsIn class node 406 of the world structure class node 404. The eventsOut node 408 can then route the event to create the virtual event 410.

In a further embodiment, the method includes determining vehicle motion data based on the vehicle dynamics data. The dynamic VR module 306 and/or the rendering module 308 can determine the vehicle motion data based on the vehicle data 318, which includes vehicle dynamics data. As discussed above, vehicle motion data 412 define real-time motion of the vehicle. Further, the vehicle motion data can also include predictive vehicle motion data determined based on the vehicle data 318, the user data 320 and/or the other data 322. For example, the predictive vehicle motion data can be based on pedal positions, cruise control, destination information, among others. Further, the method can also include determining user motion data representing motion of the user relative to the vehicle based on the user data and the vehicle data. The user motion data can be based on the vehicle data and the user data 320 and can be determined by the dynamic VR module 306 and/or the rendering module 308.

At block 608 the method includes rendering the virtual view to an output device by controlling the output device to update the display of the virtual view according to the vehicle dynamics data. For example, the dynamic reality module 306 renders the virtual view to one or more of the VR devices 316 (i.e., the HMD 206, the portable device 208). In one embodiment, the rendering module 308 renders the virtual view to an output device by controlling the output device to update the display of the virtual view according to the vehicle motion data 412 and the user motion data 413. This can be accomplished, in one embodiment, by directly augmenting the rendering speed (e.g., the frames per second, frame rate, frame update rate) implemented by the graphics hardware and/or software of the VR devices 316. In another embodiment, shown at block 606, the dynamic VR module 306 augments one or more components of the virtual world model 400 according to the vehicle motion data 412 and the user motion data 413.

In another embodiment, the method includes determining a temporal-motion rendering speed based on the vehicle motion data and the user motion data. Rendering the virtual view can include controlling the output device to update display of the virtual view based on the temporal-motion rendering speed. The temporal-motion rendering speed is a correlation between the vehicle motion data 412 and the user motion data 413. In another embodiment, the temporal-motion rendering speed also considers a time component from the vehicle data. The temporal-motion rendering speed is a post image processing and rendering property (e.g., frames per second) that minimizes the difference between the vehicle motion data 412 and the user motion data 413. The rendering module 308 can render the virtual view to the output device by controlling the output device to update display of the virtual view based on the temporal-motion rendering speed. For example, the rendering speed (e.g., the frames per second, frame rate, frame update rate) implemented by the graphics hardware and/or software of the VR devices 316 can be augmented based on the temporal-motion rendering speed.

In a further embodiment, shown at block 606, the dynamic VR module 306 augments one or more properties of the one or more component of the virtual world model based on the temporal-motion rendering speed. For example, the view class node 402 can include a rendering properties and/or properties related to motion (See FIG. 5). In one embodiment, these properties can include frames per second, frame rate and/or a frame update rate. In this way, the virtual view presented to the user is dynamic and simulates the vehicle motion in real-time. Said differently, one or more components of the virtual world model are synchronized based on at least the vehicle data and the user data, including the vehicle dynamics data and the user motion data. Not only does this provide a truly immersive virtual reality environment for the user, but also virtual reality motion sickness can be minimized, because the virtual view considers the vehicle dynamics and the user motion. Further, each virtual view presented to the user can be updated and maintained based on the vehicle dynamics data. For example, if a virtual view presents user settings (i.e., not in a game play mode), the virtual view is always updated and maintained based on the vehicle dynamics data.

In some embodiments, virtual reality objects and/or operations can have predefined rendering speeds. As an illustrative example, certain objects or certain virtual worlds may be set to rendering speeds of 25 ms. This predefined rendering speed can be adjusted based on the vehicle dynamics data as discussed above. Thus, in some embodiments, the temporal-motion rendering speed can be based on a predefined rendering speed, vehicle motion and user motion. Further, the temporal-motion rendering speed can also consider other types of data based on the user. For example, as discussed above, other data 322 can include health data associated with the user 312. If for example, the health data indicates motion or sensory issues (e.g., disorientation, vertigo, motion sickness), the temporal-motion rendering speed can be adjusted based on the health data to minimize the motion or sensor issues.

Illustrative examples of dynamic virtual views generated by the methods and systems discussed herein will now be described with reference to FIGS. 7A and 7B. FIG. 7A illustrates a virtual view 702 and FIG. 7B illustrates a virtual view 704 from a fishing virtual reality game, the objects and operations of which are defined by a virtual world model, for example the virtual world model 400 of FIG. 4 and the schematic class diagram 500 of a virtual reality world of FIG. 5. Specifically, the virtual views 702, 704 are generated based on the vehicle data, the user data and the virtual world model, the virtual world model including one or more components that define the virtual views 702, 704. The virtual views 702, 704 can be displayed on one or more VR devices 314, for example, the HMD 206 and/or the portable device 208 in the vehicle 200.

The virtual view 702 includes one or more virtual reality objects, including a landscape 706, a sun 708, a fish 710 and a water object 712. The water object 712 includes one or more waves 714. Again, the objects and operations of the virtual view 702 are defined by a virtual world model. One or more components of the virtual world model can be augmented based according to at least one of the vehicle data and the user data. In particular, in one embodiment, the virtual world model can be augmented based on vehicle dynamics data and/or the virtual view 702 can be rendered to an output device by controlling the output device to update display of the virtual view according to the vehicle dynamics data. In this way, the virtual view and objects of the virtual view are influenced by the vehicle data and/or the user data and the virtual view and objects of the virtual view are synchronized with the vehicle dynamics data. For example, the dynamic VR module 306 can augment the world structure class node 404 (e.g., the terrain class node) to dynamically generate and update the virtual view 702 with objects based on a location and an orientation of the vehicle 200 and a location and an orientation of the vehicle occupant 202. As an illustrative example, the vehicle 200 is driving in a mountainous region during the day. Accordingly based on the location and the orientation of the vehicle 200 and a time component determine from the vehicle data 318, the appearance and the terrain of the landscape object 706 in the virtual view 702 includes mountains and the sun 708. This is accomplished by augmenting the world structure class node 404 with the location and the orientation of the vehicle 200 and a time component determine from the vehicle data 318.

As another example, the fish object 710 can be generated as a type of fish indigenous to the location and the orientation of the vehicle 200 and the location and the orientation of the vehicle occupant 202. Further, the position of the fish object 710 can also be generated based on the location and the orientation of the vehicle 200 and the location and the orientation of the vehicle occupant 202. For example, the view class node 402 defining the position and the orientation of the fish object 710 can be augmented to present a point of view to the vehicle occupant 202 based on the location and the orientation of the vehicle 200 and the location and the orientation of the vehicle occupant 202.

As a further example, the water object 712 in the virtual view 702 can be generated based on the vehicle dynamics data. As an illustrative example, the vehicle data 318 can indicate a steady speed and yaw rate indicating a straight direction. Further, the user data 320 can indicate stead user motion. Accordingly, in FIG. 7A, the waves 714 appear calm and steady based on the vehicle data 318 and the user data 320. However, if the vehicle 200 suddenly increases in speed, as shown in FIG. 7B, the water object 724 including one or more waves 720 appear rough. In other embodiments, the water object 724 including the one or more waves 720 can be generated by altering the parallax motion or depth of motion of the view class node 402 based on the vehicle dynamics data.

In another embodiment, the yaw rate of the vehicle 200 and motion of the vehicle occupant 202 can be used to augment the view class node 402 of the boat object to generate a virtual view with the boat turning or moving based on the yaw rate of the vehicle 200 and the motion of the user 202. As is apparent, many variations of the virtual view can be generated based on the vehicle data 318, the user data 320 and the other data 322. In addition, in a situation where the virtual view is not in a game play mode (i.e., the virtual view presents game settings, user settings, start-up instructions), the virtual view is still generated and updated according to the vehicle dynamics data. Accordingly, by updating the virtual view according to the vehicle dynamics data in real-time, the virtual view presented to the user is dynamic and considers the vehicle motion and the user motion, thereby simulating the vehicle motion and the user motion in the virtual view in real-time. Not only does this provide a truly immersive virtual reality environment for the user, but virtual reality motion sickness can be minimized, because the virtual view considers the vehicle dynamics and the user motion.

The embodiments discussed herein can also be described and implemented in the context of computer-readable storage medium storing computer-executable instructions. Computer-readable storage media includes computer storage media and communication media. For example, flash memory drives, digital versatile discs (DVDs), compact discs (CDs), floppy disks, and tape cassettes. Computer-readable storage media can include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, modules or other data. Computer-readable storage media excludes transitory tangible media and propagated data signals.

It will be appreciated that various implementations of the above-disclosed and other features and functions, or alternatives or varieties thereof, may be desirably combined into many other different systems or applications. Also that various presently unforeseen or unanticipated alternatives, modifications, variations or improvements therein may be subsequently made by those skilled in the art which are also intended to be encompassed by the following claims. 

1. A computer-implemented method for virtual reality rendering views to an output device, comprising: receiving vehicle data, the vehicle data including a velocity, an orientation, and a location of a vehicle within a first frame of reference; receiving user data, the user data including a velocity, an orientation and a location of a user within a second frame of reference different than the first frame of reference; generating a view based on the vehicle data, the user data, and a model, the model including one or more components that define the view; determining a difference between the user data from the second frame of reference and the vehicle data from the first frame of reference; and rendering the view to the output device by controlling the output device to update display of the view according to the determined difference relative to the second frame of reference.
 2. The computer-implemented method of claim 1, wherein the user data includes health data about the user, and wherein the health data is received from one or more health monitoring devices associated with the user.
 3. The computer-implemented method of claim 2, wherein the one or more health monitoring devices are integrated with the output device.
 4. The computer-implemented method of claim 2, wherein rendering the view to the output device includes modifying the view based on the health data to minimize sensory processing.
 5. The computer-implemented method of claim 2, wherein rendering the view is performed at a predetermined rendering speed, and wherein the computer-implemented method includes adjusting the predetermined rendering speed based on the health data.
 6. The computer-implemented method of claim 1, wherein the output device is located remotely from the vehicle.
 7. The computer-implemented method of claim 1, wherein the vehicle data includes vehicle environment data, and the computer-implemented method further comprises modifying the view based on the vehicle environment data.
 8. The computer-implemented method of claim 1, wherein generating the view is further based on a model, the model including one or more components that define the view, and wherein the one or more components includes a virtual vehicle.
 9. A computing system for rendering views to an output device, comprising: a processor operatively connected for computer communication to one or more vehicle systems of a vehicle and the output device, the processor including: a virtual reality data module receives vehicle data from the one or more vehicle systems of the vehicle, wherein the vehicle data includes a velocity, an orientation, and a location of the vehicle within a first frame of reference, and wherein the virtual reality data module receives predictive vehicle data including a velocity, an orientation, and a location of the vehicle within the first frame of reference at a future point in time, and the virtual reality data module receives user data the from the output device, the user data including a velocity, an orientation and a location of a user within a second frame of reference, and the user is in possession of the output device; a dynamic virtual reality module generates a view based on the vehicle data, the predictive vehicle data, the user data, and a model, the model including one or more components that define the view; and a rendering module determines a difference between the user data from the second frame of reference and the vehicle data from the first frame of reference, and the rendering module renders the view to the output device by controlling the output device to update display of the view according to the determined difference relative to the second frame of reference and the predictive vehicle data relative to the first frame of reference.
 10. The computing system of claim 9, wherein the user data includes health data about the user, and wherein the health data is received from one or more health monitoring devices associated with the user.
 11. The computing system of claim 10, wherein the one or more health monitoring devices are integrated with the output device.
 12. The computing system of claim 10, wherein rendering module modifies the view based on the health data to minimize sensory processing.
 13. The computing system of claim 10, wherein the rendering module renders the view at a predetermined rendering speed, and wherein the rendering module adjusts the predetermined rendering speed based on the health data.
 14. The computing system of claim 9, wherein the output device is located remotely from the vehicle.
 15. The computing system of claim 9, wherein the vehicle data includes vehicle environment data, and wherein the rendering module modifies the view based on the vehicle environment data.
 16. The computing system of claim 9, wherein generating the view is further based on a model, the model including one or more components that define the view, and wherein the one or more components includes a virtual vehicle.
 17. A non-transitory computer-readable medium comprising instructions that when executed by a processor perform a method for rendering views to an output device, comprising: receiving vehicle data, the vehicle data including a velocity, an orientation, and a location of a vehicle; receiving user data, the user data including a velocity, an orientation and a location of a user; generating a view based on the vehicle data, the user data, and a model, the model including one or more components that define the view; determining a difference between the user data and the vehicle data; and rendering the view to the output device by controlling the output device to update display of the view according to the determined difference.
 18. The non-transitory computer-readable medium of claim 17, wherein the user data includes health data about the user.
 19. The non-transitory computer-readable medium of claim 17, wherein the output device is located remotely from the vehicle.
 20. The non-transitory computer-readable medium of claim 17, wherein the vehicle data includes vehicle environment data. 